Evidence map›Paper›PMID 26086330›Full record

Trial reportThe Journal of clinical endocrinology and metabolism2015

Higher Daily Energy Expenditure and Respiratory Quotient, Rather Than Fat-Free Mass, Independently Determine Greater ad Libitum Overeating.

Paolo Piaggi, Marie S Thearle, Jonathan Krakoff, Susanne B Votruba

Abstract readClinical Trial
In one paragraph

Trial report in The Journal of clinical endocrinology and metabolism, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  18. Secular trends and determinants ofFrontiers in nutrition · 2024
    Article
  19. Fat-free mass and resting metabolic rate are determinants of energy intake: implications for a theory of appetite control.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Paolo PiaggiObesity and Diabetes Clinical Research Section (P.P., M.S.T., J.K., S.B.V.), National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona 85016; and Obesity Research Center (P.P.), Endocrinology Unit, University Hospital of Pisa, Pisa, Italy 56124.
Marie S ThearleObesity and Diabetes Clinical Research Section (P.P., M.S.T., J.K., S.B.V.), National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona 85016; and Obesity Research Center (P.P.), Endocrinology Unit, University Hospital of Pisa, Pisa, Italy 56124.
Jonathan KrakoffObesity and Diabetes Clinical Research Section (P.P., M.S.T., J.K., S.B.V.), National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona 85016; and Obesity Research Center (P.P.), Endocrinology Unit, University Hospital of Pisa, Pisa, Italy 56124.
Susanne B VotrubaObesity and Diabetes Clinical Research Section (P.P., M.S.T., J.K., S.B.V.), National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona 85016; and Obesity Research Center (P.P.), Endocrinology Unit, University Hospital of Pisa, Pisa, Italy 56124.

Funding

Regulators of Food IntakeZIADK069091 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KRAKOFF, JONATHAN · 2009 to 2025
$15.0M
Intramural NIH HHS
6 · The paper itself

Abstract

contextBody fat-free mass (FFM), energy expenditure (EE), and respiratory quotient (RQ) are known predictors of daily food intake. Because FFM largely determines EE, it is unclear whether body composition per se or the underlying metabolism drives dietary intake.

objectiveThe objective of the study was to test whether 24-hour measures of EE and RQ and their components influence ad libitum food intake independently of FFM. DESIGN AND

participantsOne hundred seven healthy individuals (62 males/45 females, 84 Native Americans/23 whites; age 33 ± 8 y; body mass index 33 ± 8 kg/m(2); body fat 31% ± 8%) had 24-hour measures of EE in a whole-room indirect calorimeter during energy balance, followed by 3 days of ad libitum food intake using computerized vending machine systems. Body composition was estimated by dual-energy x-ray absorptiometry.

main outcome measuresFFM, 24-hour EE, RQ, spontaneous physical activity, sleeping EE (sleeping metabolic rate), awake and fed thermogenesis, and ad libitum food intake (INTAKE) were measured.

resultsHigher 24-hour RQ (P < .001, partial R(2) = 16%) and EE (P = .01, partial R(2) = 7%), but not FFM (P = .65), were independent predictors of INTAKE. Mediation analysis demonstrated that 24-hour EE is responsible for 80% of the FFM effect on INTAKE (44.5 ± 16.9 kcal ingested per kilogram of FFM, P= .01), whereas the unique effect due to solely FFM was negligible (10.6 ± 23.2, P = .65). Spontaneous physical activity (r = 0.33, P = .001), but not sleeping metabolic rate (P = .71), positively predicted INTAKE, whereas higher awake and fed thermogenesis determined greater INTAKE only in subjects with a body mass index of 29 kg/m(2) or less (r = 0.44, P = .01).

conclusionsEE and RQ, rather than FFM, independently determine INTAKE, suggesting that competitive energy-sensing mechanisms driven by the preferential macronutrient oxidation and total energy demands may regulate food intake.

Indexed as

RespirationAdipose TissueAdultBody CompositionBody WeightCalorimetry, IndirectCircadian RhythmEatingEnergy MetabolismFemaleHumansHyperphagiaMaleOxidation-ReductionYoung Adult

Identifiers

PMID26086330
PMCPMC4524995

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.